Description Usage Arguments Details Data type Version Date submitted Author(s) See Also
Apply the stochastic spatial thinning algorithm implemented in the spThin package to presence data in a presence-background dataset
1 | spThin(.data, thin = 50)
|
.data |
Internal parameter, do not use in the workflow function. |
thin |
Thinning parameter - the required minimum distance (in kilometres) between points after applying the thinning procedure |
Full details of the algorithm are available in the open-access article by Aiello-Lammens et al. (2015): dx.doi.org/10.1111/ecog.01132
presence-only
0.1
2017-11-23
Nick Golding, nick.golding.research@gmail.com
Other process: AddRandomUniformPredictors,
BackgroundAndCrossvalid,
Background, Bootstrap,
CarolinaWrenValidation,
Clean, Crossvalidate,
JitterOccurrence,
LonLatToCovariates, MESSMask,
NoProcess,
OneHundredBackground,
OneThousandBackground,
PartitionDisc, RemoveNAs,
StandardiseCov,
SubsampleOccurrence,
TargetGroupBackground,
Transform, addInteraction
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